Professor

Address 

Phone

E-mail

 House No. - III/15, MANIT Campus Bhopal,

 +91-755-4051513(O), +91-755-4052315(R)

 yadavrn[at]manit[dot]ac[dot]in, rnyadav[at]gmail[dot]com

 01-05-1972

 B. Tech (Electronics), Motilal Nehru National Institute of Technology  (Formerly MNREC) Allahabad

 M.Tech. (Digital Communication), Maulana Azad National Institute of Technology (Formerly MACT) Bhopal

 Ph.D. (Neural Networks and Applications), Indian Institute of Technology, Kanpur

 Since February 1997

 Communication Systems, Neural Networks and Image Processing

Publications

International Journals

• Swati Soni, R.N.Yadav and Lalita Gupta, “State-of-the-Art Analysis of Deep Learning-Based Monaural Speech Source Separation Techniques”, IEEE Access, Vol.11, pp. 4242-4269, 2023.
• Aditya Powari, Dharmendra Sadhwani, Lalita Gupta and R.N. Yadav, “Novel Romberg Approximation of the Gaussian Q Function and its Application over Versatile  Shadowed fading Channel”, Digital Signal Processing, Elsevier, Vol.132, Article No. 103800, December 2022.
• Aditya Powari, Dharmendra Sadhwani, Lalita Gupta and R.N. Yadav, “Optimization of the Exponential Bounds on the Gaussian Q Function using Interior Point Algorithm and its Application in Communication Theory”, IEEE Open Journal of the Communication Society, Vol.3, pp. 1540-1552, 2022.
• Shubhojeet Chatterjee, Rini S. Thakur, R.N.Yadav and Lalita Gupta, “Sparsity-Based Modified Wavelet De-Noising Autoencoder for ECG Signals”, Signal Processing, Elsevier Vol.198, Article No. 108605, September 2022.
• Dharmendra Sadhwani and  R.N.Yadav, “Novel MGF Expressions of F Composite Fading Channels with Applications” International Journal of Electronics and Communications (AEU), Elsevier, Vol.138, Article No. 153889, August 2021.
• Rini S. Thakur, Shubhojeet Chatterjee, R.N.Yadav and Lalita Gupta, “Image De-noising with Machine Learning: A Review”, IEEE Access, Vol.9, pp. 93338-93363, 2021.
• Rini S. Thakur, R.N.Yadav and Lalita Gupta, “PReLU and Edge Aware Filter Based Image Denoiser using Convolutional Neural Network”, IET Image Processing,  Vol.14, No.15, pp. 3869-3879, 2020
• S. Chatterjee, Rini S.Thakur, R.N. Yadav, L.Gupta and D.K. Raghuvanshi, “Review of Noise Removal Techniques in ECG Signals”, IET Signal Processing, IET/IEEE, Vol. 14, No. 9, pp.569-590, 2020.
• Dharmendra Sadhwani and  R.N.Yadav, “ A Comprehensible Form of the Product of Two Gaussian Q Functions and its Usefulness in κ−μ Shadowed Fading Distribution  ”  Journal of the Franklin Institute, Elsevier, Vol. 357, No.8, pp. 5110-5123, 2020.
• Rini S. Thakur, R.N.Yadav and Lalita Gupta, “State-of-Art Analysis of Image Denoising Methods using Convolutional Neural Networks”, IET Image Processing, IET/IEEE,Vol.13, No.13, pp. 2367-2380, 2019
• Dharmendra Sadhwani and R.N.Yadav,“On the Average of the Product of Two Gaussian Q Functions over η−μ and κ−μ Fading Channels using MRC Diversity Reception”, IET Communications, IET/IEEE, Vol.13, No.8, pp. 981-987, 2019
• Dharmendra Sadhwani , R.N.Yadav, S. Aggrawal and D.K. Raghuvanshi, “Simple and accurate SEP approximation of hexagonal-QAM in AWGN channel and its application in parametric α-μ, h-μ, k-μ fading and log normal shadowing” IET Communications,IET/IEEE,Vol.12, No.12, pp. 1454-1459,  2018.
• Dharmendra Sadhwani and  R.N.Yadav, “Simplified Approximations to the Average of Some Useful Forms of Gaussian Q functions with MRC Diversity Reception over Nakagami-q and Rician Fading Channels and their Applications” International Journal of Electronics and Communications (AEU), Elsevier, Vol.82, pp. 167-176, 2017
• Dharmendra Sadhwani and  R.N.Yadav and S. Aggrawal, “Tighter Bounds on the Gaussian Q Function and Its Application in Nakagami-m Fading Channel” IEEE Wireless Communications Letters, Vol.6. no.5, pp. 574-577', 2017.
• Dharmendra Sadhwani and  R.N.Yadav, “A Simplified Exact expression of SEP for Cross QAM in AWGN Channel from  M×N Rectangular QAM and its usefulness in Nakagami-m Fading Channel” International Journal of Electronics and Communications (AEU), Elsevier, Vol.74, pp. 63-74, 2017.

• Sanyam Shukla and R.N.Yadav, “Regularized Weighted Circular Complex Valued Extreme Learning Machine for Imbalanced Learning”, IEEE Access, Vol. 3, pp. 3048-3057, 2015.

• Subhash Mishra, R.N.Yadav and R.P. Singh, “Directivity Estimations for Short Dipole Antenna Arrays Using Radial Basis Function Neural Networks”,IEEE Antennas and Wireless Propagation Letters,Vol.14, pp.1219-1222. 2015.

• Poonam Sharma, R.N.Yadav and K.V. Arya “Pose Invariant Face Recognition using Curvelet Neural Network”, IET Biometrics, IET/IEEE, Vol.3, Issue 3, pp. 128-138, 2014
• Poonam Sharma, K.V. Arya and R.N.Yadav, “Efficient Face Recognition Using Wavelet based Generalized Neural Network”, Signal Processing, Elsevier, Vol. 93, issue 6, pp.1557-1565, 2013
• Abhishek Rawat, R.N. Yadav and S.C. Srivastava, “Neural Network Applications in Smart Antenna Arrays: A Review”, International Journal of Electronics and Communications (AEU), Elsevier, Vol.66, Issue 11. pp. 903-912, 2012.
• Kavita Burse, R.N.Yadav and S.C. Srivastava, “Channel equalization using neural networks: A Review, IEEE Transactions on System Man and Cybernetics Part-C: Applications and Reviews, Vol. 40, No.3, pp. 352-357, 2010.
• Manish D. Sawale and R.N. Yadav, “Detection of optimally quantized CDMA signals in Rayleigh Channel”, Journal of Telecommunications Vol. 9, Issue 2, pp. 10-13, 2011.
• Abhishek Rawat, R.N. Yadav and S.C. Srivastava, “Dynamically phased array smart antenna using Fourier series method”, International Journal on  Communication Antennas and Propagation, Vol.1,No.1,pp.13-16,, 2011.
• Kavita Burse, R.N.Yadav and S.C. Srivastava, “Fully Complex Multiplicative Neural Network Model and its Application to Channel Equalization” in Advances of Neural Network Research and Applications (Eds. Z . Zeng & J. Wang),, Springer Lecture Notes in Electrical Engineering, Vol. 67, pp. 493-501, 2010.
• Kavita Burse, R.N.Yadav and S.C. Srivastava and V.P.S. Kirar, “A Compact Pi Network for Reducing Bit Error Rate in Dispersive FIR Channel Noise Model” International Journal of Electronics, Circuits and Systems, Vol.3, No.3, pp. 150-153, 2009.
• Kavita Burse, R.N.Yadav and S.C. Shrivastava, “Nonlinear stationary channel equalization of QAM signals using multiplicative neuron model” International Journal of Computer Science and Network Security, Vol. 9, No.5, pp. 273-279,  May 2009.
• R.N. Yadav, P.K. Kalra and Joseph John, ''Time series prediction with single multiplicative neuron model”, Applied Soft Computing Journal, Elsevier, Vol. 7, No.4, pp. 1157-1163, 2007.
• A. Yadav, D. Mishra, R.N. Yadav, S. Ray and P.K. Kalra, ''Time series prediction with single integrate-and-fire neuron ", Applied Soft Computing Journal, Elsevier, Vol.7, No.3, pp. 739-745, 2007.
• R.N.Yadav, P.K. Kalra and J. John, '' On the use of multiplicative neuron model in feedforward neural networks'', International Journal of Modeling and Simulation,Acta Press, Vol. 26, No.4. pp. 331-336, 2006.
• R.N. Yadav, Nimit Kumar, P.K. Kalra and Joseph John, ''Learning with generalized mean based neuron model”, Neurocomputing Journal, Elsevier, Vol. 69, pp. 2026-2032, 2006.
• R.N.Yadav, P.K. Kalra and J. John, ''Neural network learning with generalized mean based neuron model'', Soft ComputingJournal, Springer, Vol.10, No.3, pp.257-263, 2006.
• Gunjan Gupta, R.N. Yadav,  P.K. Kalra and Joseph John, ''Modeling with recurrent neural networks using generalized mean neuron model", Neural Information Processing-Letters and Reviews , Vol. 8, No. 3, pp. 49-57, September, 2005.
• Gunjan Gupta, R.N. Yadav,  P.K. Kalra and Joseph John, ''Modeling with recurrent neural networks using compensatory neuron model", Neural Information Processing-Letters and Reviews , Vol. 6, No. 3, pp. 69-78, March 2005.

International Conferences

•  Rini S. Thakur, R.N.Yadav and Lalita Gupta, “Analysis of CNN digit Classifier Parameters”, in proc. of 2^nd Asian Conference on Innovation in Technology (IEEE Bombay Section), August 26-28’ 2022, Pune, India.
• Gaurav Makwana, R.N. Yadav and Lalita Gupta, “Analysis of Various Noise Reduction Techniques for Breast Ultrasound Image Enhancement” in proc. on Internet of Things and its Applications, in Springer’s Lecture Notes in Electrical Engineering, vol.825, pp. 303-313, 2022.
• Swastik K. Sahu and R.N.Yadav, “Performance Analysis of ResNet in Facial Emotion Recognition”, in proc. of 4^th International Conference on Machine Intelligence and Signal Processing, Springer’s Lecture Notes in Electrical Engineering, March 12-14’ 2022, Raipur, India.
• Swastik K. Sahu and R.N.Yadav, “Key Facial Points Recognition using ResNet”, in proc. of  International Conference on Advancements in Nanoelectronics and Communication Technologies, February 24-26’ 2022, Jaipur, India in Materials Today: Proceedings, Elsevier, Vol.66, pp-3651-3656,  2022.
• V. Chandana, G. Tejaswini, Lalita Gupta and R.N.Yadav, “Algorithm Development Analysis: Searching and Sorting”, in proc. of IEEE International Students’ Conference on Electrical, Electronics and Computer Science, February 19-20’ 2022, Bhopal, India.
• Srishty Dwivedi, R.N. Yadav, and Lalita Gupta, “Restoration of Image using Discrete Wavelet Transform with Filtering Technique” in proc. of 12th International Conference on Computing Communication and Networking Technologies,  pp. 1-6,  July 06-08, 2021, Kharagpur, India
• Gaurav Makwana, R.N. Yadav and Lalita Gupta, “Comparative Analysis of Image Fusion Techniques for Medical Image Enhancement ” in proc. of International Conference on Computational Intelligence, in Springer’s proceedings in Algorithms for Intelligent Systems, vol.250, pp. 241-252,  Dec. 12-13, 2020, Pune, India.

• Dharmendra Sadhwani and  R.N.Yadav, “Region Based Error Rates Computations for SQAM Signalsin AWGN Channel” International Conference on Recent Innovations in Signal Processing and Embedded Systems (IEEE), October’27-29, pp. 12-15, 2017, Bhopal, India.

• Sanyam Shukla and R.N.Yadav and Lokesh Naktode, “Correlation based Extreme Learning Machine”, in proc. of IEEE 9th International Conference on Developments in eSystems Engineering (DeSE) Location:Aug.31-Sept.02, pp. 268-272, 2016, Liverpool, England

• Poonam Sharma, R.N. Yadav and K.V. Arya, “Facr Recognition from Video using generalized Mean Deep Learning Neural Network”, in proc. of IEEE 4th International Symposium on Computational and Business Intelligence, Sept. 5-7, pp. 195-199, 2016, Olten, Switzerland.

• Sanyam Shukla, R N Yadav, Jivitesh Sharma, Shankul Khare, ‘Analysis of Statistical Features for Fault Detection in Ball Bearing”, in the proc. of IEEE International Conference on Computational Intelligence and Computing Research, pp.1-7, Dec. 10-12’2015, Madurai, India.

• Abhshek Rawat, Vidhi Rawat and R.N.Yadav,” Design Analysis of Intelligent Dynamically Phased Array Smart Antenna Using Dipole Leg and Radial Basis Function Neural Network” (in Springer’s Lecture Notes on Artificial Intelligence) Vol. 9329, pp. 475–484, 2015.

• Poonam Sharma, K.V. Arya and R.N. Yadav, “Face Recognition Using Generalized Self Organizing Map Based on PCNN Features”.IEEE International Conference on Signal Processing and Integrated Networks, Feb.19-20,  2015,pp. 806-810, Noida, India.

• Sanyam Shukla and R.N.Yadav, “Voting based Extreme Learning Machine with Entropy based Ensemble Pruning”,in IEEE International Conference on Cognitive Computing and Information Processing 2015 (CCIP 15), March 3-5, 2015,pp. 1-6, Noida, India

• Subhas Mishra, R.N. Yadav and R.P. Singh, “Neural Estimations of First Null Beam Width for Broadside and End-fire Uniform Linear Antenna Arrays” in proc. of the International Conference on Intelligent Computing and Applications, 22-24, December 2014, Durgapur, India, (in Springer’s book series on Advances in Intelligent Systems and Computing) Vol. 343, pp. 445-451, 2015.

• Poonam Sharma, K.V. Arya and R.N.Yadav, “Near Real Time Face Recognition Using Generalized Mean Neural Network Based on PCNN Features”, accepted for presentation and publication in IEEE International Conference on Signal processing and Integrated Networks, Feb.20-21,   2014, Noida, India
• Sanjeev Dwivedi, Abhishek Rawat and R. N. Yadav, “Design of U-Shape Microstrip Patch Antenna for WiMax applications at 2.5 GHz”, in proc.of 10th IEEE and IFIP International Conference on Wireless and OpticalCommunications Networks (WOCN), July 26-28, 2013, Bhopal India.
• P. Hanswal, O. Dale, D.Gupta and R.N.Yadav, “Designing a Central ControlUnit and Soil Moisture Sensor Based Irrigation Water Pump System”, IEEE India Educators Conference, Texas Instruments, April 4-6, pp. 306-310,Bangalore, India, 2013.
• Manish D. Sawale and R.N. Yadav,“Modified NLMS Algorithm using Adaptive Learning Rate in Non-stationary Environment” in proc. of International Conference on Information and Network Technology, vol.37, pp.274-280, April 28-29, 2012, Chennai,India.
• Rahul Shrivastava, Abhishek Rawat, Yogendra Kumar Jain, R.N. Yadav, S.C. Shrivastava, “Neural Modeling of Smart Antenna Array Using Radial Basis Function for Beam Shipping of GSM Transmitter” in proc. of Ninth IEEE International Conference on Wireless and Optical Communications Networks Sept.20-22, 2012, Indore, India
• Poonam Sharma, K.V. Arya and R.N. Yadav, Extraction of Facial Features using Higher Order Moments in Curvelet Transform and Recognition using Generalized Mean Neural Networks, in Proc. of International Conference on Soft Computing for Problem Solving Dec. 20-22, Roorkee, India, (in Springer’s book series on Advances in Intelligent and Soft Computing) Vol. 131, pp. 769-780, 2011.
• Manasi Gyanchandani, R. N. Yadav and J. L. Rana, “Impact of Normalization on Feature Selection for Anomaly Based Intrusion Detection System”, accepted for oral presentation and publication in International Conference on Computational Intelligence and Software Engineering, Dec. 9-11, 2011, Wuhan, China.
• Manish D. Sawale and R.N. Yadav, “Improved normalized least mean square algorithm using past weight vectors and regularization parameter” in proc. of International Conference on Computational Intelligence and Information Technology vol.250, pp.268-273,  Nov. 7-8, 2011, Pune, India.
• Abhishek Rawat, R.N. Yadav and S.C. Srivastava “Design of DPA Smart Antenna for Beamwidth Prediction using Support Vector Machine” accepted for oral presentation and publication in IEEE International Conference on Computational Intelligence and Communication Network Oct. 7-9, 2011, Gwalior, India
• Manish D. Sawale and R.N. Yadav, “Modified normalized least mean square algorithm with improved minimization criterion” in proc. IEEE International Conference on Computational Intelligence and Communication Network pp. 541-544, Oct. 7-9, 2011, Gwalior, India
• Poonam Shrama, K.V. Arya and R.N. Yadav, “Face Recognition by Multiresolution Curvelet Transform and Generalized Neural Network ” Accepted for oral Presentation in International Conference on Pattern Analysis and Intelligent Robotics, June 27-29, 2011, Putrajaya Kualumpur Malaysia
• Abhishek Rawat, R.N. Yadav and S.C. Srivastava, “ Neural Modeling of Antenna Array using Radial Basis Neural Networks for Directivity Prediction ” in proc. of The 3rd International Conference on Computer Modeling and Simulation, Volume 2, pp 541-544, January 7-9, 2011, Mumbai, India.
• Kavita Burse, R.N.Yadav and S.C. Srivastava, “Fully Complex Multiplicative Neural Network Model and its Application to Channel Equalization” Abstract in proc. of International Symposium on Neural Networks, June 6-9, 2010, Shanghai China.
• Rajendra Patel, Arvind Rajawat and R.N. Yadav, “Remote Access of Peripherals using Web Server on FPGA Platform”  in proc. IEEE International Conference on Recent Trends in Information, Telecommunication and Computing, March 12-13, 2010, Cochin, India
• Abhishek Rawat, R.N. Yadav and S.C. Srivastava, “Neural Modeling of 15 Element Dynamic Phased Array Smart Antenna” in proc. of IEEE International Conference on Advances in Computing, Control and Telecommunication Technologies, December 28-29, 2009, Trivandrum, India.
• Subhas Mishra, R.N. Yadav and R.P. Singh “Neural Networks in Smart Antenna Design for Co-channel Interference (CCI) Reduction: A Review” in proc. of IEEE International Conference on Wireless and Mobile Communications, pp.228-233, August 23-29, 2009, French Riviera, France.
• Kavita Burse, R.N. Yadav and S.C. Srivastava, “Complex Channel Equalization using Polynomial Neuron Model” in proc. of  IEEE International Symposium on Information Technology , Vol.2, pp. 771-775, August 26-29, 2008, Kuala Lumpur, Malaysia.
• Kavita Burse, R.N.Yadav and S.C. Srivastava, “Adaptive Noise Cancellation for Satellite Signals using Higher Order Neural Network” in proc. of  International Conference on Information Processing , pp. 634-639, August 8-10, 2008, Bangalore, India.
• Agya Mishra, R.N. Yadav, D.K. Trivedi, “Noise Canceller Based on Generalized Neural Network”, in proc. of IEEE International Conference on Advanced Communication Technology, Vol.3, pp. 1998-2000, Feb.12-14, 2007, Phoenix Park, South Korea.
• Agya Mishra, R.N. Yadav, D.K. Trivedi, “A Higher Order Neural Network Based Noise Canceller”, in proc. of  IEEE International Symposium on Signal Processing and Its Applications, Feb. 12-15, 2007, Sharjah, UAE.
• Agya Mishra, R.N. Yadav, D.K. Trivedi, “Noise Canceller using Generalized mean Neuron Model ”, in proc. of IEEE International Conference on Signal and Image Processing,Vol.2, pp. 1034-1037, Dec.7-9, 2006, Hubli, India
• A. Yadav, D. Mishra, S. Ray, R.N.Yadav and P.K. Kalra, "Functional mapping with single integrate and fire neuron", in proc. of IEEE International Joint Conference on Neural Networks, IJCNN'05, Vol.4,pp. 2156-2161, 31 July-4 August, 2005, Quebec, Canada.
• A.Yadav, D.Mishra, S.Ray, R.N.Yadav and P.K. Kalra, "Representation of complex-valued neural networks: A real valued approach" in proc. of 2nd IEEE International Conference on Intelligent Sensing and Information Processing,  pp. 331-335, Jan. 4-7, 2005, Chennai, India
• R.N. Yadav, Nimit Kumar, P.K. Kalra and J. John, "Multilayer feed forward neural networks using generalized mean neuron model" in proc. of IEEE International Symposium on Communications and Information Technologies,'' vol. 1, pp. 93-97, Oct. 26-29, 2004, Sapporo, Japan.
• R.N. Yadav, V.Singh and P.K. Kalra, "Classification using single neuron" in proc. 1st IEEEInternational Conference on Industrial Informatics, pp. 124-129,  Aug. 21-24,  2003, Banff, Canada.
• J. Pandit, J.S. Yadav and R.N.Yadav, “Information technology-a boon of technical education”,International Conference on Global Interconnectivity, Dec. 1997, MACT Bhopal.

Book Chapters

• Srishty Dwivedi, R.N.Yadav and Lalita Gupta, “A Comparative Analysis of Image Restoration Techniques”, pp. 173-211, in Digital Image Enhancement and Reconstruction, edited by S. S. Rajput et.al, Academic Press, Elsevier, October 2022.
• Rini S. Thakur, Shubhojeet Chatterjee, R.N.Yadav and Lalita Gupta, “Medical Image Denoising using Convolutional Neural Networks”, pp. 115-138, in Digital Image Enhancement and Reconstruction, edited by S. S. Rajput et.al, Academic Press, Elsevier, October 2022.
•  Gaurav Makwana, R. N. Yadav and Lalita Gupta, ‘Histopathological Image Analysis and Classification Techniques for Breast Cancer Detection’ pp-161-192 in “Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare” edited by Varun Bajaj, G. R. Sinha, CRC Press, Taylor & Francis Group, August 2021.
• Gaurav Makwana, R. N. Yadav and Lalita Gupta, ‘A Comparative Analysis of Image Enhancement Techniques for Detection of Microcalcification in Screening Mammogram’ pp.10-1to10-22 in “High Performance Computing for Intelligent Medical System’’ edited by Varun Bajaj, Irshad Ahmad Ansaris, IOP Publishing, July 2021.

• Life Associate Member IETE,
• Life Member ICEIT,
• IEEE Member,

Country Visited

 Ph.D.  Completed   09

• SEP Analysis of Various Digital Modulation Schemes over AWGN and Fading Channels by Dharmendra Sadhwani- Awarded in May 2018

• Modified Extreme Learning Machine and Ensemble Pruning Techniques for Pattern Classification by Sanyam Shukla- Awarded in December 2015.

• Some Investigations on Smart Antennas Using Neural Networks by Subhash Mishra-Awarded in May 2015.
• Certain Face Recognition Algorithms for Person Identification by Poonam Sharma - Awarded in July 2014.
• Improved Algorithm for Detection of Signals in Rayleigh Channel by Manish Sawale- Awarded in March 2014.
• Performance Enhancement of Anomaly Based Intrusion Detection System by Manasi Gyanchandani -Awarded in September 2013.
• Design and Analysis of Dynamically Phased Array Smart Antenna Using Optimization Techniques by Abhishek Rawat Awarded in July 2012.
• HONN based Adaptive EKF Techniques for Nonlinear Estimation-by Agya Mishra- Awarded in May 2012.
• A Novel Approach for Channel Equalization Using Multiplicative Neural Networks by Kavita Burse-Awarded in October 2010

 On Going   01                   

 M.Tech. Completed   28

• All in one ERP Solutions with Artificial Super Intelligence, funded by Infotek Solutions:A Dhiyo Tech Company Bhopal (5.76 Lakhs With Dr. A. Somkuwar) 2019-2020.
• Verification of specifications and demonstration of different types of electronics equipment, MPLUN, Bhopal(Rs. 6.85 Lakhs with Dr. D.K. Raghuvanshi) 2016
• Verification of specifications and demonstration of different types of electronics equipment, MPLUN, Bhopal(Rs. 1.82 Lakhs with Dr. D.K. Raghuvanshi) 2015

• Verification of specifications and demonstration of different types of electronics equipment, MPLUN, Bhopal(Rs. 3.49 Lakhs with Dr. D.K. Raghuvanshi) 2014

• Verification of specifications and demonstration of different types of electronics equipment, MPLUN, Bhopal, 2013
• Testing of Phones with built-in GPS with GSM/GPRS/EDGE, 3G Technology make Motorola model ES 400 - M.P. Laghu Udyog Nigam Limited Bhopal, 2011

Administrative work done

Any other information

• Guest Editor in Special Issue on Soft Computing Theory, Applications and Implications in Engineering and Technology, ICTACT Journal on Soft Computing Published by ICT Academy of Tamil Nadu, January 2015.

• Associate Editor of “Journal of Applied Time Series Analysis” Serials Publications.
• Reviewer of the Journal “IEEE Access".
• Reviewer of the Journal “IEEE Transactions on Neural Networks and Learning Systems”.
• Reviewer of the Journal “IEEE Transactions on Communications”.
• Reviewer of the Journal “IEEE Transactions on Neural Networks”.
• Reviewer of the Journal “Information Sciences”, Elsevier.
• Reviewer of the Journal “Applied Soft Computing”, Elsevier.
• Reviewer of the Journal “Neurocomputing”, Elsevier,
• Reviewer of the Journal “Soft Computing”, Springer Verlage.
• Reviewer of the Journal “AEU-International Journal of Electronics and Communication”,Elsevier
• Reviewer of the Journal “Complexity, Wiley
• Reviewer of Proceedings of the National Academy of Sciences, India Section A: Physical Sciences
• Program committee member of the 9th International Conference on Bio-inspired Computing: Theory and Applications BICTA-2014), October 16-19, 2014, Wuhan , China
• Program committee member of the IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS 2012), March 1-2,2014, Bhopal, India
• Reviewer of the IEEE ' 16th International Conference on Advanced Communication Technology (ICACT 2014), Feb 16-19, 2014, Phoenix Park,South Korea
• Reviewer of the Journal “Neural Computing and Applications”, Springer Verlage.
• Reviewer of the Journal “Institution of Engineers India (IE)”.
• Reviewer for the technical proposal submitted to the Portuguese Foundation for Science and Technology, Portugal, May 2012.
• Reviewer of the International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), Dec. 14-16, 2012, ABV-IIITM Gawalior, India.
• Reviewer of the IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS 2012), March 1-2, 2012, Bhopal, India.
• Reviewer of the International Conference on Wireless Communication  and Sensor Networks (IEEE Sponsored), Dec. 27-29, 2008, Indore , India
• Member “National Advisory Committee” of National Conference on Recent Trends in Information Technology, organized by Maharana Pratap College of Technology, Gwalior, February 26-27, 2010.
• Member “National Advisory Board” of National conference on Trends in Instrumentation and Control Engineering, organized by Thapar University Patiala, Punjab, Oct. 29-30, 2009
• Member “National Advisory Board” of National conference on, Emerging Technologies in Computer Science organized by NOIDA Institute of Engineering and Technology, Noida, September 15-16, 2012.
• Guest Editor in Special Issue on Soft Computing Theory, Applications and Implications in Engineering and Technology, ICTACT Journal on Soft Computing Published by ICT Academy of Tamil Nadu, January 2015.